Matplotlib is one of the most popular Python packages used for data visualization. It is a cross-platform library for making 2D plots from data in arrays. Matplotlib is written in Python and makes use of NumPy, the numerical mathematics extension of Python. In today’s video, we will be discussing Matplotlib using various examples.
Matplotlib is a plotting library for the Python programming language. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, PyQt, or GTK+. It can be used in Python and IPython shells, Jupyter notebook, and web application servers also.
Data Visualization makes our work so easy and makes such abundant data so simplified and easy to understand and work upon. Matplotlib does the same for us and it makes it easier to draw insights from abundant data and work accordingly on it. Want to know more about this interesting topic? Then do watch the tutorial till the end.
